Improving Operational Safety by Leveraging the Structured Exploration of Complex Adaptation Framework

Traditional safety management often overlooks the nuances of human adaptation in complex socio-technical systems, from which derives a wealth of unexploited tacit knowledge. To demonstrate the usefulness of analyzing daily operation, this paper proposes an application of the Structured Exploration of Complex Adaptations (SECA) framework to proactively identify weak signals in everyday operations. Specifically, the framework consists in semi-structured interviews analyzed using the Grounded Theory (GT) method, supported by Large Language Models (LLMs), enabling deeper insights into everyday operations.